| Listen, Attend and Spell: A Neural Network for Large Vocabulary Conversational Speech Recognition W Chan, N Jaitly, QV Le, O Vinyals ICASSP, 2016 | 2202* | 2016 |
| SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition DS Park, W Chan, Y Zhang, CC Chiu, B Zoph, ED Cubuk, QV Le INTERSPEECH, 2019 | 1737 | 2019 |
| Very Deep Convolutional Networks for End-to-End Speech Recognition Y Zhang, W Chan, N Jaitly ICASSP, 2017 | 440 | 2017 |
| Advances in Joint CTC-Attention based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LM T Hori, S Watanabe, Y Zhang, W Chan INTERSPEECH, 2017 | 277 | 2017 |
| Insertion Transformer: Flexible Sequence Generation via Insertion Operations M Stern, W Chan, J Kiros, J Uszkoreit ICML, 2019 | 159 | 2019 |
| Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling J Shen, P Nguyen, Y Wu, Z Chen, MX Chen, Y Jia, A Kannan, T Sainath, ... arXiv preprint arXiv:1902.08295, 2019 | 135 | 2019 |
| Predicting Collective Sentiment Dynamics from Time-series Social Media L Nguyen, P Wu, W Chan, W Peng, Y Zhang SIGKDD WISDOM, 2012 | 120 | 2012 |
| WaveGrad: Estimating Gradients for Waveform Generation N Chen, Y Zhang, H Zen, R Weiss, M Norouzi, W Chan ICLR, 2021 | 114 | 2021 |
| Bytes are All You Need: End-to-End Multilingual Speech Recognition and Synthesis with Bytes B Li, Y Zhang, T Sainath, Y Wu, W Chan ICASSP, 2019 | 93 | 2019 |
| Transferring Knowledge from a RNN to a DNN W Chan, NR Ke, I Lane INTERSPEECH, 2015 | 89 | 2015 |
| SpecAugment on Large Scale Datasets D Park, Y Zhang, CC Chiu, Y Chen, B Li, W Chan, Q Le, Y Wu ICASSP, 2020 | 74 | 2020 |
| Imputer: Sequence Modelling via Imputation and Dynamic Programming W Chan, C Saharia, G Hinton, M Norouzi, N Jaitly ICML, 2020 | 62 | 2020 |
| Latent Sequence Decompositions W Chan, Y Zhang, Q Le, N Jaitly ICLR, 2017 | 55 | 2017 |
| Non-Autoregressive Machine Translation with Latent Alignments C Saharia, W Chan, S Saxena, Norouzi, Mohammad EMNLP, 2020 | 53 | 2020 |
| KERMIT: Generative Insertion-Based Modeling for Sequences W Chan, N Kitaev, K Guu, M Stern, J Uszkoreit arXiv, 2019 | 50 | 2019 |
| Deep Recurrent Neural Networks for Acoustic Modelling W Chan, I Lane arXiv, 2015 | 50 | 2015 |
| On Online Attention-based Speech Recognition and Joint Mandarin Character-Pinyin Training W Chan, I Lane INTERSPEECH, 2016 | 47 | 2016 |
| Image Super-Resolution via Iterative Refinement C Saharia, J Ho, W Chan, T Salimans, D Fleet, M Norouzi arXiv, 2021 | 42 | 2021 |
| Speech recognition with attention-based recurrent neural networks W Chan, N Jaitly, QV Le, O Vinyals, NM Shazeer US Patent 999,091, 2018 | 40 | 2018 |
| Optimal Completion Distillation for Sequence Learning S Sabour, W Chan, M Norouzi ICLR, 2019 | 36 | 2019 |
